This article, the third in the series (Feb/March 2016 and Aug/Sept 2016) about developing an Industrial Internet of Things (IIoT) solution, takes a closer look at the second phase: research and development (R&D). R&D starts with the go to development milestone, then continues to the first go live and subsequent releases until the final stop when the decision to finish the development is taken.
Alot of information, time and energy has been devoted recently to emerging and established practices in asset management. This interest, however, actually has a far longer history. Protocols have been undergoing continuous development and evolution for the past 50 years to keep pace with discoveries, expansion and globalization of industries.
There is an overwhelming focus on sustainability these days. Issues related to carbon emissions, global warming, exponentially growing landfills, rampant energy wastages, etc., which seemed conceptual a decade or two ago, are a reality hitting everyone harder than ever before. Most people are yearning to play a role in contributing to the world’s sustainability goals, which is a very good step!
Seldom do railways have the resources to maintain their infrastructure at a level that ensures steady-state performance. Rather, they are faced with prioritizing maintenance actions to optimize safety and reliability under the burden of constrained resources. Given this reality, railway operations are finding the solution to work more efficiently lies in using information technology. By harnessing the vast amount of existing rail corridor data in a prioritized plan and then assigning the work and monitoring the execution and results with software, many railways are doing more with less resources. This strategy is called linear asset decision support (LADS) and it not only results in steady-state asset performance under constrained resources, it also can improve the asset condition and provide a positive return on investment.
As a follow-up to “How to Develop an Industrial Internet of Things Solution” in the Feb/March 2016 issue of Uptime magazine, this article introduces a series that provides further details about the approach to develop Industrial Internet of Things (IIoT) solutions. The series of articles is based on firsthand experiences of designing, developing and delivering (IIoT) services.
Good information is the holy grail of asset management. Everyone is looking for complete, accurate and up-to-date information to make informed business decisions that will improve asset performance, reduce risk and lower costs.
In this quest, many asset-intensive organizations have invested heavily in asset information systems (e.g., EAM/ERP/CMMS) over the last 20 years. Yet, despite considerable expenditure, organizations complain that benefits have been slow to materialize and are difficult to measure. Managers say they still can’t access the information they need.
Problems for maintenance reliability professionals in asset-intensive industries begin long before the plant is running. The root of a problem typically begins in the engineering and design phase, well before construction begins.